People
Vivek Parekh

Vivek Parekh M.Sc.

Working area(s)

Artificial Intelligence based Multi Objective Optimization for Electrical Machines.

Contact

Work Bosch
Postfach 30 02 40
70442 Stuttgart

In general, different FEA tools are used to understand electromagnetic behavior of electrical machines and produce an optimal design solution. These tools take plenty of time to evaluate one single electromagnetic design. This research deals with the study of different deep learning approaches for the generation of optimal electrical machine design. It aims to reduce cost and simulation time in the process.

2021

Parekh, Vivek (2021):
Multi-objective Topology Optimization of Electrical Machines Using Variational Autoencoder.
In: Workshop on Advances in Electromagnetic Research – KWT 2021, Virtual Conference. URL: http://maxwell-in-motion.org. [Talk]

Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2021):
Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine.
In: IEEE Access, ISSN: 2169-3536, DOI: 10.1109/ACCESS.2021.3053856, ARXIV: 2012.11299. [Article]

2020

Parekh, Vivek ; Flore, Dominik ; Schöps, Sebastian (2020):
Deep Learning-based Prediction of Key Performance Indicators for Electrical Machine.
In: Workshop on Advances in Electromagnetic Research – KWT 2020, Virtual Conference. URL: http://maxwell-in-motion.org. [Talk]